Build and operate secure, scalable microservice applications on AWS and Kubernetes, owning reliability and observability so that customers experience a platform that stays up under load. Develop and integrate AI and agentic capabilities, including LLM integration, retrieval augmented generation, tool and function calling, and agentic workflows, so that emerging technology reaches users as working product. Apply a security-first approach across development, deployment, and operations, covering application, API, container, identity, and data security, because autonomy raises the cost of any gap. Automate testing, delivery, and monitoring through modern DevSecOps practice, and troubleshoot complex production issues through to resolution rather than handoff. Success in this role looks like services you built running reliably in production, AI features customers actually use, and engineering practices that improve because you contributed to them.